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Health Care and Pension Plan Planning Based on Improved Leslie Model

机译：基于改进Leslie模型的医疗保健和养老金计划规划

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摘要

LesLie model is popular for the analysis of the population structure. However, on basis of the characteristics of the Leslie model, it can only predict the years in which the age range is taken as a unit, making decision makers fail to flexibly formulate effective plans for population changes. Therefore, in this paper, the fertility rate combination model and the Lee Carter model are combined with the Leslie model to cooperate with the GM (1, 1) gray-scale prediction model and multiple linear regression model to predict the population structure, and conduct algorithmic verification and medical resource allocation of the Shenzhen population status, thus verifying the feasibility and value of the algorithm.
机译：Leslie Model是对人口结构分析的流行。然而，根据Leslie模型的特征，它只能预测年龄范围作为单位的年份，使决策者未能灵活地制定有效的人口变化计划。因此，在本文中，生育率组合模型和李卡特模型与LESLIE模型与GM（1,1）灰度预测模型和多元线性回归模型合作，以预测人口结构和行为深圳人口地位的算法验证和医疗资源分配，从而验证了算法的可行性和价值。

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